{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:DHGAC5IVKV2FAF2A7CWECROU3Z","short_pith_number":"pith:DHGAC5IV","canonical_record":{"source":{"id":"1206.0285","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-02-19T10:36:25Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"76c3d549276696cd06d76167e847bd0b40e9a0090946b99381cb44940192c74b","abstract_canon_sha256":"9370e4f79300a6d4b05a505bd0326e091c3b01a33c71739cf7f16fb96688f3d0"},"schema_version":"1.0"},"canonical_sha256":"19cc0175155574501740f8ac4145d4de4c9dcc880743e0565d3a3cb477ad00f7","source":{"kind":"arxiv","id":"1206.0285","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.0285","created_at":"2026-05-18T03:54:26Z"},{"alias_kind":"arxiv_version","alias_value":"1206.0285v1","created_at":"2026-05-18T03:54:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.0285","created_at":"2026-05-18T03:54:26Z"},{"alias_kind":"pith_short_12","alias_value":"DHGAC5IVKV2F","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"DHGAC5IVKV2FAF2A","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"DHGAC5IV","created_at":"2026-05-18T12:27:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:DHGAC5IVKV2FAF2A7CWECROU3Z","target":"record","payload":{"canonical_record":{"source":{"id":"1206.0285","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-02-19T10:36:25Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"76c3d549276696cd06d76167e847bd0b40e9a0090946b99381cb44940192c74b","abstract_canon_sha256":"9370e4f79300a6d4b05a505bd0326e091c3b01a33c71739cf7f16fb96688f3d0"},"schema_version":"1.0"},"canonical_sha256":"19cc0175155574501740f8ac4145d4de4c9dcc880743e0565d3a3cb477ad00f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:54:26.621928Z","signature_b64":"NFCHFGhz8MkS4aB0iWGKOd297t4T7ESYzUD6hs6k/HV3ZgyE/U7LUpBat8h1gp5ae2KG4z0h+la+vvFnJGt3CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19cc0175155574501740f8ac4145d4de4c9dcc880743e0565d3a3cb477ad00f7","last_reissued_at":"2026-05-18T03:54:26.621123Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:54:26.621123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1206.0285","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:54:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CJ7bk2iSbBtOZYbc5C8OhyUMSWLAcPCmYl9V1J7LAmNqsOFU7KjCvuFv6Irgv51IKZtlsot4u/ETqCifsh7xDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T12:06:12.015786Z"},"content_sha256":"9fce926811dee34c31eed0f61e60075e0971675fc056a3dc7930cf66b8cb87cf","schema_version":"1.0","event_id":"sha256:9fce926811dee34c31eed0f61e60075e0971675fc056a3dc7930cf66b8cb87cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:DHGAC5IVKV2FAF2A7CWECROU3Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Filtering using All Neighbor Directional Weighted Pixels: Optimization using Particle Swarm Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.CV","authors_text":"J. K. Mandal, Somnath Mukhopadhyay","submitted_at":"2012-02-19T10:36:25Z","abstract_excerpt":"In this paper a novel approach for de noising images corrupted by random valued impulses has been proposed. Noise suppression is done in two steps. The detection of noisy pixels is done using all neighbor directional weighted pixels (ANDWP) in the 5 x 5 window. The filtering scheme is based on minimum variance of the four directional pixels. In this approach, relatively recent category of stochastic global optimization technique i.e., particle swarm optimization (PSO) has also been used for searching the parameters of detection and filtering operators required for optimal performance. Results "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.0285","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:54:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p9J0POT1RhLRPQ+x70RF5DMV057tkOUPYkahgMQCvOWlBfoqucjc31/4exH5BJpnn2aXoIh8yAk3u4mbJfZPAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T12:06:12.016133Z"},"content_sha256":"b17d33d7fde4a1bb05e4119fd66e0e838713db16882394cea44208efbef2c1c6","schema_version":"1.0","event_id":"sha256:b17d33d7fde4a1bb05e4119fd66e0e838713db16882394cea44208efbef2c1c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DHGAC5IVKV2FAF2A7CWECROU3Z/bundle.json","state_url":"https://pith.science/pith/DHGAC5IVKV2FAF2A7CWECROU3Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DHGAC5IVKV2FAF2A7CWECROU3Z/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-30T12:06:12Z","links":{"resolver":"https://pith.science/pith/DHGAC5IVKV2FAF2A7CWECROU3Z","bundle":"https://pith.science/pith/DHGAC5IVKV2FAF2A7CWECROU3Z/bundle.json","state":"https://pith.science/pith/DHGAC5IVKV2FAF2A7CWECROU3Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DHGAC5IVKV2FAF2A7CWECROU3Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:DHGAC5IVKV2FAF2A7CWECROU3Z","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9370e4f79300a6d4b05a505bd0326e091c3b01a33c71739cf7f16fb96688f3d0","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-02-19T10:36:25Z","title_canon_sha256":"76c3d549276696cd06d76167e847bd0b40e9a0090946b99381cb44940192c74b"},"schema_version":"1.0","source":{"id":"1206.0285","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.0285","created_at":"2026-05-18T03:54:26Z"},{"alias_kind":"arxiv_version","alias_value":"1206.0285v1","created_at":"2026-05-18T03:54:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.0285","created_at":"2026-05-18T03:54:26Z"},{"alias_kind":"pith_short_12","alias_value":"DHGAC5IVKV2F","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"DHGAC5IVKV2FAF2A","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"DHGAC5IV","created_at":"2026-05-18T12:27:04Z"}],"graph_snapshots":[{"event_id":"sha256:b17d33d7fde4a1bb05e4119fd66e0e838713db16882394cea44208efbef2c1c6","target":"graph","created_at":"2026-05-18T03:54:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper a novel approach for de noising images corrupted by random valued impulses has been proposed. Noise suppression is done in two steps. The detection of noisy pixels is done using all neighbor directional weighted pixels (ANDWP) in the 5 x 5 window. The filtering scheme is based on minimum variance of the four directional pixels. In this approach, relatively recent category of stochastic global optimization technique i.e., particle swarm optimization (PSO) has also been used for searching the parameters of detection and filtering operators required for optimal performance. Results ","authors_text":"J. K. Mandal, Somnath Mukhopadhyay","cross_cats":["cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-02-19T10:36:25Z","title":"Image Filtering using All Neighbor Directional Weighted Pixels: Optimization using Particle Swarm Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.0285","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9fce926811dee34c31eed0f61e60075e0971675fc056a3dc7930cf66b8cb87cf","target":"record","created_at":"2026-05-18T03:54:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9370e4f79300a6d4b05a505bd0326e091c3b01a33c71739cf7f16fb96688f3d0","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-02-19T10:36:25Z","title_canon_sha256":"76c3d549276696cd06d76167e847bd0b40e9a0090946b99381cb44940192c74b"},"schema_version":"1.0","source":{"id":"1206.0285","kind":"arxiv","version":1}},"canonical_sha256":"19cc0175155574501740f8ac4145d4de4c9dcc880743e0565d3a3cb477ad00f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19cc0175155574501740f8ac4145d4de4c9dcc880743e0565d3a3cb477ad00f7","first_computed_at":"2026-05-18T03:54:26.621123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:54:26.621123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NFCHFGhz8MkS4aB0iWGKOd297t4T7ESYzUD6hs6k/HV3ZgyE/U7LUpBat8h1gp5ae2KG4z0h+la+vvFnJGt3CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:54:26.621928Z","signed_message":"canonical_sha256_bytes"},"source_id":"1206.0285","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9fce926811dee34c31eed0f61e60075e0971675fc056a3dc7930cf66b8cb87cf","sha256:b17d33d7fde4a1bb05e4119fd66e0e838713db16882394cea44208efbef2c1c6"],"state_sha256":"cde022d4e18552645cdb48c928f6a93357cc8de3247b49c2932a6ad15820ca17"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qHg/Nyj82jRF4cMhrVnfjPZmPLAsz6VK76eGkd73pCJAy5iz/JKEBRv7kjYPOx0/HfuO1gUsCy+me15/AmIIAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T12:06:12.018158Z","bundle_sha256":"00587c6b008919b99d4852bc3a4e69517503be5582c1601a74b110713ac146b4"}}